. https://www.technologynetworks.com/drug-discovery/blog/maximizing-drug-discovery-success-with-machine-learning-322056

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MAXIMIZING DRUG DISCOVERY SUCCESS WITH MACHINE LEARNING
The pipeline to new drugs isnt straightforward. Whilst some estimates of only 5-10% of drug programs making it to approval may be lowballing the true rate, success is still far from guaranteed. What is guaranteed is the gargantuan time and cost of taking a compound from discovery to therapy. In response, pharmas are wising up and seeking to make use of what is perhaps their greatest resource data. Leveraging molecular data before trials begin means better selection of target compounds and a quicker development process. But data isnt just a tool, its a commodity, and a hugely valuable one. How can we encourage companies to share data assets freely?One potential solution is offered by Machine Learning Ledger Orchestration for Drug Discovery (MELLODDY). This Innovative Medicines Initiative (IMI)-funded consortium hopes to leverage blockchain architecture to guarantee shareability and security for pharmaceutical data. Whats more, it already has the backing of 10 major pharmas. We talked to Hugo Ceulemans, MELLODDY Project Leader and Scientific Director, Discovery Data Sciences at Janssen Pharmaceutica NV and Mathieu Galtier, Project Coordinator at data science company Owkin to find out more. READ MORE